Gaige Wang

Orcid: 0000-0002-3295-8972

According to our database1, Gaige Wang authored at least 116 papers between 2012 and 2024.

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Bibliography

2024
Improving Test Data Generation for MPI Program Path Coverage With FERPSO-IMPR and Surrogate-Assisted Models.
IEEE Trans. Software Eng., March, 2024

A systematic review of fuzzing.
Soft Comput., March, 2024

A memory-based simulated annealing algorithm and a new auxiliary function for the fixed-outline floorplanning with soft blocks.
J. Ambient Intell. Humaniz. Comput., February, 2024

Medical image identification methods: A review.
Comput. Biol. Medicine, February, 2024

YOLO-AA: an efficient object detection model via strengthening fusion context information.
Multim. Tools Appl., January, 2024

Perceptual loss guided Generative adversarial network for saliency detection.
Inf. Sci., January, 2024

A dual-population multi-objective evolutionary algorithm driven by generative adversarial networks for benchmarking and protein-peptide docking.
Comput. Biol. Medicine, January, 2024

MSWAGAN: Multispectral Remote Sensing Image Super-Resolution Based on Multiscale Window Attention Transformer.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Hierarchical learning particle swarm optimization using fuzzy logic.
Expert Syst. Appl., December, 2023

Decomposition-Based Multiobjective Optimization for Variable-Length Mixed-Variable Pareto Optimization and Its Application in Cloud Service Allocation.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023

Landsat-8 to Sentinel-2 Satellite Imagery Super-Resolution-Based Multiscale Dilated Transformer Generative Adversarial Networks.
Remote. Sens., November, 2023

Fuzzy correlation entropy-based NSGA-II for energy-efficient hybrid flow-shop scheduling problem.
Knowl. Based Syst., October, 2023

AMSUnet: A neural network using atrous multi-scale convolution for medical image segmentation.
Comput. Biol. Medicine, August, 2023

Solving energy-efficient fuzzy hybrid flow-shop scheduling problem at a variable machine speed using an extended NSGA-II.
Eng. Appl. Artif. Intell., May, 2023

Improving evolutionary algorithms with information feedback model for large-scale many-objective optimization.
Appl. Intell., May, 2023

Improved elephant herding optimization using opposition-based learning and K-means clustering to solve numerical optimization problems.
J. Ambient Intell. Humaniz. Comput., March, 2023

Triple-DRNet: A triple-cascade convolution neural network for diabetic retinopathy grading using fundus images.
Comput. Biol. Medicine, March, 2023

Improved differential evolution using two-stage mutation strategy for multimodal multi-objective optimization.
Swarm Evol. Comput., 2023

Architecture evolution of convolutional neural network using monarch butterfly optimization.
J. Ambient Intell. Humaniz. Comput., 2023

Forecasting ENSO using convolutional LSTM network with improved attention mechanism and models recombined by genetic algorithm in CMIP5/6.
Inf. Sci., 2023

ENSO analysis and prediction using deep learning: A review.
Neurocomputing, 2023

Position-Aware Tooth Segmentation and Numbering with Prior Knowledge Injected.
Proceedings of the Cross-Cultural Design, 2023

2022
Redemptive Resource Sharing and Allocation Scheme for Internet of Things-Assisted Smart Healthcare Systems.
IEEE J. Biomed. Health Informatics, 2022

Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm.
IEEE Trans. Ind. Informatics, 2022

Novel general active reliability redundancy allocation problems and algorithm.
Reliab. Eng. Syst. Saf., 2022

Multi-instance semantic similarity transferring for knowledge distillation.
Knowl. Based Syst., 2022

ConvUNeXt: An efficient convolution neural network for medical image segmentation.
Knowl. Based Syst., 2022

Self-attention neural architecture search for semantic image segmentation.
Knowl. Based Syst., 2022

An enhancing many-objective evolutionary algorithm using chaotic mapping and solution ranking mechanism for large-scale optimization.
J. Comput. Des. Eng., 2022

Monarch butterfly optimized control with robustness analysis for grid tied centralized and distributed power generations.
J. Ambient Intell. Humaniz. Comput., 2022

A novel adaptive weight algorithm based on decomposition and two-part update strategy for many-objective optimization.
Inf. Sci., 2022

A review of green shop scheduling problem.
Inf. Sci., 2022

A binary moth search algorithm based on self-learning for multidimensional knapsack problems.
Future Gener. Comput. Syst., 2022

LSFQPSO: quantum particle swarm optimization with optimal guided Lévy flight and straight flight for solving optimization problems.
Eng. Comput., 2022

AMSFuzz: An adaptive mutation schedule for fuzzing.
Expert Syst. Appl., 2022

Corrigendum to: Multi-Swarm Cuckoo Search Algorithm with <i>Q-</i>Learning Model.
Comput. J., 2022

Call for Special Issue Papers: Deep Learning Assisted Big Data Analytics for Biomedical Applications and Digital Healthcare: Deadline for Manuscript Submission: August 20, 2022.
Big Data, 2022

2021
Spiral-based chaotic chicken swarm optimization algorithm for parameters identification of photovoltaic models.
Soft Comput., 2021

Novel Binary-Addition Tree Algorithm for Reliability Evaluation of Acyclic Multistate Information Networks.
Reliab. Eng. Syst. Saf., 2021

Improving distributed anti-flocking algorithm for dynamic coverage of mobile wireless networks with obstacle avoidance.
Knowl. Based Syst., 2021

DLEA: A dynamic learning evolution algorithm for many-objective optimization.
Inf. Sci., 2021

Integrating object proposal with attention networks for video saliency detection.
Inf. Sci., 2021

Solving Logistics Distribution Center Location with Improved Cuckoo Search Algorithm.
Int. J. Comput. Intell. Syst., 2021

Monarch butterfly optimization: A comprehensive review.
Expert Syst. Appl., 2021

Multi-Swarm Cuckoo Search Algorithm with Q-Learning Model.
Comput. J., 2021

A general approach to solving hardware and software partitioning problem based on evolutionary algorithms.
Adv. Eng. Softw., 2021

2020
Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism.
IEEE Trans. Fuzzy Syst., 2020

High Performance Computing for Cyber Physical Social Systems by Using Evolutionary Multi-Objective Optimization Algorithm.
IEEE Trans. Emerg. Top. Comput., 2020

Interval Multiobjective Optimization With Memetic Algorithms.
IEEE Trans. Cybern., 2020

Hybrid bio-inspired user clustering for the generation of diversified recommendations.
Neural Comput. Appl., 2020

Learning-based elephant herding optimization algorithm for solving numerical optimization problems.
Knowl. Based Syst., 2020

Analysis of production cycle-time distribution with a big-data approach.
J. Intell. Manuf., 2020

Enhancing MOEA/D with information feedback models for large-scale many-objective optimization.
Inf. Sci., 2020

Behavior of crossover operators in NSGA-III for large-scale optimization problems.
Inf. Sci., 2020

Improving NSGA-III algorithms with information feedback models for large-scale many-objective optimization.
Future Gener. Comput. Syst., 2020

2019
Improving Metaheuristic Algorithms With Information Feedback Models.
IEEE Trans. Cybern., 2019

Domination landscape in evolutionary algorithms and its applications.
Soft Comput., 2019

Monarch butterfly optimization.
Neural Comput. Appl., 2019

Krill herd algorithm based on cuckoo search for solving engineering optimization problems.
Multim. Tools Appl., 2019

A Quick Inclusion-Exclusion technique.
Inf. Sci., 2019

A comprehensive review of krill herd algorithm: variants, hybrids and applications.
Artif. Intell. Rev., 2019

Enhanced Moth Search Algorithm for the Set-Union Knapsack Problems.
IEEE Access, 2019

2018
Detection of Malicious Code Variants Based on Deep Learning.
IEEE Trans. Ind. Informatics, 2018

A new monarch butterfly optimization with an improved crossover operator.
Oper. Res., 2018

Solving IIR system identification by a variant of particle swarm optimization.
Neural Comput. Appl., 2018

Multi-strategy monarch butterfly optimization algorithm for discounted {0-1} knapsack problem.
Neural Comput. Appl., 2018

Moth search algorithm: a bio-inspired metaheuristic algorithm for global optimization problems.
Memetic Comput., 2018

Editorial.
Memetic Comput., 2018

Optimisation of the high-order problems in evolutionary algorithms: an application of transfer learning.
Int. J. Wirel. Mob. Comput., 2018

Earthworm optimisation algorithm: a bio-inspired metaheuristic algorithm for global optimisation problems.
Int. J. Bio Inspired Comput., 2018

An improved NSGA-III algorithm with adaptive mutation operator for Big Data optimization problems.
Future Gener. Comput. Syst., 2018

Solving randomized time-varying knapsack problems by a novel global firefly algorithm.
Eng. Comput., 2018

Meta-heuristic framework: Quantum inspired binary grey wolf optimizer for unit commitment problem.
Comput. Electr. Eng., 2018

Opposition-based learning monarch butterfly optimization with Gaussian perturbation for large-scale 0-1 knapsack problem.
Comput. Electr. Eng., 2018

An adaptive large neighborhood search heuristic for dynamic vehicle routing problems.
Comput. Electr. Eng., 2018

A novel parallel hurricane optimization algorithm for secure emission/economic load dispatch solution.
Appl. Soft Comput., 2018

Binary Moth Search Algorithm for Discounted {0-1} Knapsack Problem.
IEEE Access, 2018

An Enhanced Monarch Butterfly Optimization with Self-adaptive Butterfly Adjusting and Crossover Operators.
Proceedings of the Advances in Swarm Intelligence - 9th International Conference, 2018

Particle-swarm Krill Herd Algorithm.
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018

Comparison of Two Swarm Intelligence Algorithms: From the Viewpoint of Learning.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

2017
A novel fruit fly framework for multi-objective shape design of tubular linear synchronous motor.
J. Supercomput., 2017

Solving 0-1 knapsack problem by a novel binary monarch butterfly optimization.
Neural Comput. Appl., 2017

A novel oriented cuckoo search algorithm to improve DV-Hop performance for cyber-physical systems.
J. Parallel Distributed Comput., 2017

Gesture segmentation based on a two-phase estimation of distribution algorithm.
Inf. Sci., 2017

An Improved Monarch Butterfly Optimization with Equal Partition and F/T Mutation.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017

An improved Brain Storm Optimization algorithm based on graph theory.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Hybridizing harmony search algorithm with cuckoo search for global numerical optimization.
Soft Comput., 2016

Chaotic cuckoo search.
Soft Comput., 2016

The social networking investigation of metadata of forensic artifacts of a typical WeChat session under Windows.
Secur. Commun. Networks, 2016

Self-adaptive extreme learning machine.
Neural Comput. Appl., 2016

A hybrid method based on krill herd and quantum-behaved particle swarm optimization.
Neural Comput. Appl., 2016

A modified simulated annealing algorithm and an excessive area model for floorplanning using fixed-outline constraints.
Frontiers Inf. Technol. Electron. Eng., 2016

Opposition-based krill herd algorithm with Cauchy mutation and position clamping.
Neurocomputing, 2016

A Novel Hybrid Cuckoo Search Algorithm with Global Harmony Search for 0-1 Knapsack Problems.
Int. J. Comput. Intell. Syst., 2016

A new hybrid method based on krill herd and cuckoo search for global optimisation tasks.
Int. J. Bio Inspired Comput., 2016

A new metaheuristic optimisation algorithm motivated by elephant herding behaviour.
Int. J. Bio Inspired Comput., 2016

A Multi-Stage Krill Herd Algorithm for Global Numerical Optimization.
Int. J. Artif. Intell. Tools, 2016

A Discrete Monarch Butterfly Optimization for Chinese TSP Problem.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

Brain Storm Optimization in Objective Space Algorithm for Multimodal Optimization Problems.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

An improved bat algorithm with variable neighborhood search for global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
The Digital Fingerprinting Analysis Concerning <i>Google Calendar</i> under Ubiquitous Mobile Computing Era.
Symmetry, 2015

A New Swarm Intelligence Approach for Clustering Based on Krill Herd with Elitism Strategy.
Algorithms, 2015

Offline determinations of parameter values in genetic algorithm.
Proceedings of the 11th International Conference on Natural Computation, 2015

Efficiency and Effectiveness Metrics in Evolutionary Algorithms and Their Application.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

A Multi-swarm bat algorithm for global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Erratum to: Incorporating mutation scheme into krill herd algorithm for global numerical optimization.
Neural Comput. Appl., 2014

Incorporating mutation scheme into krill herd algorithm for global numerical optimization.
Neural Comput. Appl., 2014

Hybrid krill herd algorithm with differential evolution for global numerical optimization.
Neural Comput. Appl., 2014

Binary optimization using hybrid particle swarm optimization and gravitational search algorithm.
Neural Comput. Appl., 2014

Chaotic Krill Herd algorithm.
Inf. Sci., 2014

Stud krill herd algorithm.
Neurocomputing, 2014

A new improved krill herd algorithm for global numerical optimization.
Neurocomputing, 2014

An Effective Hybrid Cuckoo Search Algorithm with Improved Shuffled Frog Leaping Algorithm for 0-1 Knapsack Problems.
Comput. Intell. Neurosci., 2014

2013
A chaotic particle-swarm krill herd algorithm for global numerical optimization.
Kybernetes, 2013

A Novel Hybrid Bat Algorithm with Harmony Search for Global Numerical Optimization.
J. Appl. Math., 2013

2012
Dynamic Deployment of Wireless Sensor Networks by Biogeography Based Optimization Algorithm.
J. Sens. Actuator Networks, 2012


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